Algorithm  describes the construction of a set of means \(\mathbf {\mu }=\lbrace \mathbf {\mu }_y, y=1,2,\cdots ,C\rbrace \)  that satisfy the condition of Max-Mahalanobis Distribution (MMD) [1]}. \(C\)  is the number of classes, \(d\)  is the dimension of feature vector \(\mathbf {\phi }(x)\in \mathbb {R}^d\)  extracted by CNN, and \(S\)  is a hyperparameter, which we set to 10 in all our experiments. For more details of MMD, please refer to [1]}.
